Job Description
We are seeking a visionary Senior AI Architect to spearhead the development of next-generation neural networks for the 2026 era. As we bridge the gap between theoretical AI breakthroughs and practical industrial application, you will play a pivotal role in designing scalable, robust, and ethically sound artificial intelligence systems.
At Nexus Future Systems, we don't just predict the future; we build it. You will work with a world-class team of researchers and engineers to deploy Large Language Models (LLMs) and autonomous agents that solve complex real-world problems.
Core Competencies:
Our ideal candidate is a technical leader who thrives in ambiguity and possesses a deep understanding of deep learning architectures.
Benefits:
- Comprehensive Health, Dental, and Vision coverage.
- Unlimited PTO and remote-first flexibility.
- Equity participation in a high-growth startup.
Responsibilities
- Design and implement state-of-the-art deep learning models, including Transformers and GNNs, optimized for production environments.
- Lead the architectural strategy for data pipelines, ensuring high availability and scalability of ML infrastructure.
- Collaborate with cross-functional product teams to translate business requirements into technical AI solutions.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Research emerging AI methodologies and evaluate their applicability to our core product suite.
- Ensure all AI systems adhere to strict ethical guidelines and regulatory standards regarding data privacy and bias.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or applied research.
- Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face libraries.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Experience deploying models via MLOps pipelines and model serving frameworks (TorchServe, TensorFlow Serving).
- Demonstrated ability to lead technical projects from conception to deployment.